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Fuzzy Optimization and Decision Making

Erschienen in:

01.09.2015

Price competition of manufacturers in supply chain under a fuzzy decision environment

verfasst von: Shengju Sang

Erschienen in: Fuzzy Optimization and Decision Making | Ausgabe 3/2015

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Abstract

This paper considers supply chain models with two competitive manufacturers and a common retailer that sells products of both manufacturers under a fuzzy decision environment. The parameters of demand function and manufacturing cost are treated as fuzzy variables. Two manufacturers and one retailer are assumed to pursue three different power balance scenarios: Manufacturer-Stackelberg, Retailer-Stackelberg and Vertical-Nash games. For each case, the optimal solutions of the expected value and two chance-constrained programming models are derived. Finally, numerical examples are provided to illustrate the results of proposed models. It is shown that in fuzzy models, the different scenarios affect the optimal pricing strategies, and the confidence level of the profits for supply chain members affects the optimal solutions.

Vorheriger Artikel An automatic ranking approach for multi-criteria group decision making under intuitionistic fuzzy environment

Nächster Artikel Stability in mean for uncertain differential equation

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Titel: Price competition of manufacturers in supply chain under a fuzzy decision environment
verfasst von: Shengju Sang
Publikationsdatum: 01.09.2015
Verlag: Springer US
Erschienen in: Fuzzy Optimization and Decision Making / Ausgabe 3/2015
Print ISSN: 1568-4539
Elektronische ISSN: 1573-2908
DOI: https://doi.org/10.1007/s10700-014-9202-4

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